Eye-Gaze Control of a Wheelchair Mounted 6DOF Assistive Robot for Activities of Daily Living

Sunny, Md Samiul Haque; Zarif, Md Ishrak Islam; Rulik, Ivan; Sanjuan, Javier; Rahman, Mohammad Habibur; Ahamed, Sheikh Iqbal; Wang, Inga; Schultz, Katie; Brahmi, Brahim

doi:10.21203/rs.3.rs-829261/v1

Cited by 1 publication

(1 citation statement)

References 41 publications

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“…The development of eye tracking based robot control began in early 2000 (see Figure 3 ; Kim et al (2001) ) presented the first system based on a self-developed eye tracking system and interface to control an industrial robotic arm using on-screen buttons. Similar systems have been presented to control a robotic arm via a GUI ( Yoo et al, 2002 ; Sunny et al, 2021 ). Using a GUI means that the person does not need to have the same field of view as the robot because the scene can be displayed on the screen.…”

Section: Resultsmentioning

confidence: 99%

A scoping review of gaze and eye tracking-based control methods for assistive robotic arms

Fischer-Janzen,

Wendt,

Van Laerhoven

2024

Front. Robot. AI

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Background: Assistive Robotic Arms are designed to assist physically disabled people with daily activities. Existing joysticks and head controls are not applicable for severely disabled people such as people with Locked-in Syndrome. Therefore, eye tracking control is part of ongoing research. The related literature spans many disciplines, creating a heterogeneous field that makes it difficult to gain an overview.Objectives: This work focuses on ARAs that are controlled by gaze and eye movements. By answering the research questions, this paper provides details on the design of the systems, a comparison of input modalities, methods for measuring the performance of these controls, and an outlook on research areas that gained interest in recent years.Methods: This review was conducted as outlined in the PRISMA 2020 Statement. After identifying a wide range of approaches in use the authors decided to use the PRISMA-ScR extension for a scoping review to present the results. The identification process was carried out by screening three databases. After the screening process, a snowball search was conducted.Results: 39 articles and 6 reviews were included in this article. Characteristics related to the system and study design were extracted and presented divided into three groups based on the use of eye tracking.Conclusion: This paper aims to provide an overview for researchers new to the field by offering insight into eye tracking based robot controllers. We have identified open questions that need to be answered in order to provide people with severe motor function loss with systems that are highly useable and accessible.

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Section: Resultsmentioning

confidence: 99%